woe: Weight of Evidence and Information Value in Credit Scoring
In tomasgreif/woe: Tools to calculate Weight of Evidence (WoE) and Information Value.
Description
Calculate Information Value and Weight of Evidence for
variables in data frame. Information Value is used in
credit scoring to compare predictive power among
variables. Weight of Evidence (WoE):
WoE =
\ln(\frac{\%good_i}{\%bad_i})
Information Value:
IV =
Σ_{i=1}^{n}(\ln(\frac{\%good_i}{\%bad_i})*(\%good_i
- \%bad_i))
tomasgreif/woe documentation built on May 31, 2019, 5:16 p.m.
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Description
Calculate Information Value and Weight of Evidence for variables in data frame. Information Value is used in credit scoring to compare predictive power among variables. Weight of Evidence (WoE):
WoE = \ln(\frac{\%good_i}{\%bad_i})
Information Value:
IV = Σ_{i=1}^{n}(\ln(\frac{\%good_i}{\%bad_i})*(\%good_i - \%bad_i))
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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